中国农业科技导报 ›› 2016, Vol. 18 ›› Issue (4): 79-86.DOI: 10.13304/j.nykjdb.2015.628

• 数字农业 农机装备 • 上一篇    下一篇

桃核周围组织中光场分布特性的研究

唐春晓1,王兆瑞1,李恩邦1,2*   

  1. 1.天津工业大学电子与信息工程学院, 天津 300387;
    2.伍伦贡大学理工学院物理系, 新南威尔士州 伍伦贡 2522, 澳大利亚
  • 收稿日期:2015-10-26 出版日期:2016-08-15 发布日期:2015-12-12
  • 通讯作者: 李恩邦,教授,博士生导师,主要研究方向为光纤光学与光纤传感、激光测试、光通信技术与器件的研究及产品开发等。E-mail: Enbang@tju.edu.cn
  • 作者简介:唐春晓,讲师,博士,主要从事光电检测技术理论研究和实用型光电技术产品的开发。E-mail: feitanga@163.com。
  • 基金资助:
    国家自然科学基金项目(31271871,61177078);天津市高等学校科技发展基金计划项目(20120609);高等学校博士学科点专项科研基金项目(20101201120001);天津应用基础及前沿项目(13JCYBJC16800)资助。

Study on the Distribution Characteristics of  Scattered Light around Peach Pit

TANG Chun-Xiao1, WANG ZHAO-Rui1, LI En-bang1,2*   

  1. 1.Tianjin Polytechnic University, Tianjin 300387, China; 2. School of Physics, Faculty of
    Engineering and Information Sciences, University of Wollongong, NSW Wollongong 2522, Austrilia
  • Received:2015-10-26 Online:2016-08-15 Published:2015-12-12

摘要: 为研究桃核周围的光场分布特性,采用激光与机器视觉技术,以类似医用CT的逐层切削法,用Matlab处理图像进行结果分析。当入射光强度足够大时,桃核会对其内部组织中的前向透射光和后向散射光的分布造成影响,越靠近桃核,其光强越强。经过图像处理与数据分析后,可初步认定果核在透射式光谱分析法中所起到的作用是削弱入射光的强度,即果核的存在降低了透射光的信号强度。水果内部组织的光场分布受到果核的影响,而且在桃核附近组织中,不论是纵向还是横向的灰度曲线都符合高斯分布。该结果从光学角度为利用激光图像法来实现水果内部品质的无损检测提供参考。

关键词: 机器视觉技术, 光强分布特性, 灰度曲线, 高斯分布, Matlab

Abstract:

This paper studied the distribution characteristics of scattered light around peach pit using laser and computer vision technology combined with cutting step by step method similar to CT, and Matlab dealing with images to . The results showed that when incident light was stronger enough, the peach pit might affect the distribut of forward transmission light and backward scattering light. And the closer to the pit, the stronger the light was. After image treatment and data analysis, it was tentatively believed that fruit pit had played a role of weakening the strength of forward transmission light, i.e. the existence of fruit pit reduced the strength of transmission light signal. Light distribution of fruit internal tissues was affected by fruit pit. Within the tissues near peach pit, the gray curve no matter vertical or horizontal all accord with Gaussian distribution. Above results provided reference for realizing nondestructive detection of fruit internal quality by using laser image method from the optical point of view.

Key words: machine vision technology, characteristics of light intensity distribution, gray curve, gaussian distribution, Matalb